AI Software Engineer - Machine Vision

• Design, develop and maintain software using C++, C# and Python, selecting the appropriate language for each component.
• Develop, evaluate and improve machine vision models and image-processing algorithms.
• Prepare and validate image datasets for model training and testing.
• Integrate AI models into software applications and processing pipelines.
• Investigate model accuracy, inference speed, memory usage and application performance.
• Develop automated tests for software components and AI functionality.
• Diagnose issues involving image quality, model behaviour and software integration.
• Collaborate with colleagues to translate application requirements into working solutions.

• Document technical decisions, evaluation results and implementation details., AI Software Engineer - Machine Vision Skills

• API Development
• Artificial Intelligence
• Continuous Integration
• Kubernetes
• Large Language Models (LLM)
• Machine Learning
• Python Programming (Beginner)
• Software Engineering Job Titles
• TensorFlow & PyTorch Deep Learning
• TypeScript (Web Development)

• Commercial software development experience, with strong capability in one or more of C++, C# and Python.
• Practical experience developing computer vision, machine learning or image-processing solutions.
• An understanding of model training, validation and evaluation.
• The ability to write maintainable code and apply sound testing and debugging practices.
• Experience integrating algorithms or models into usable software.
• Strong analytical skills and the ability to investigate complex technical problems.
• Clear communication and a collaborative approach.

Desirable Experience

• Experience working across C++, C# and Python.
• Familiarity with OpenCV and frameworks such as PyTorch or TensorFlow.
• Object detection, image classification, segmentation or visual inspection applications.
• Real-time processing, GPU acceleration or deployment to edge devices.
• Model optimisation and inference tools, such as ONNX or TensorRT.
• Experience working with cameras, video streams or hardware interfaces.
• Familiarity with Git, CI/CD and AI-assisted coding tools.

• Hybrid / Remote working
• Excellent career progression to lead an AI Team
• • other benefits